JJ Geewax

Director, Applied AI at Google DeepMind

Singapore
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Summary

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Rockstar
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Top School
JJ Geewax is a seasoned technology leader with 16 years building large-scale cloud, payment and real-time systems, now directing Applied AI at Google DeepMind from Singapore. He’s the author of API Design Patterns and Google Cloud Platform in Action, a founding force behind AIP.dev, and a long-time contributor to Google Cloud client libraries where his work improved documentation, UX and core SDK features like signed URLs. JJ blends hands-on engineering—from protocol buffers and backend services to front-end navigation and developer experience—with product-level thinking around financial inclusion and real-time payments (Mojaloop, Google Pay). Known for making APIs more usable and dependable, he pairs deep distributed-systems and cryptography interests with a knack for turning complex infrastructure into clear developer workflows.
code16 years of coding experience
job18 years of employment as a software developer
bookBSE Computer Science Engineering, BSE Computer Science Engineering at University of Pennsylvania
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Stackoverflow

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Github Skills (34)

javascript10
python10
apidoc10
protocol-buffers10
css10
user-interface10
google-app-engine10
ui-design10
graphical-user-interface10
java10
gcp10
arraylist10
api10
cloud-storage10
html10

Programming languages (16)

C#JavaC++CSSGoRAMLHTMLTypeScript

Github contributions (5)

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aip-dev/google.aip.dev

Mar 2019 - Oct 2022

API Improvement Proposals. https://aip.dev/
Role in this project:
userFront-end Developer
Contributions:24 reviews, 47 commits, 67 PRs in 3 years 7 months
Contributions summary:JJ primarily focused on improving the user interface and navigation of the AIP documentation website. They fixed broken links, updated the site navigation to include descriptions and landing pages, and added a search box with placeholder text. Several commits involved modifications to the header and mobile navigation, enhancing the overall user experience.
apidevethereumproposalsblockchain
Google Cloud Client Library for Python
Role in this project:
userBack-end Developer
Contributions:64 commits, 17 PRs, 3 pushes in 2 years 5 months
Contributions summary:JJ contributed significantly to the core functionality of the Google Cloud Python client library. Their work primarily involved modifying protocol buffer definitions and updating documentation, including quickstart guides, and getting started tutorials. The user also implemented features like signed URLs for Cloud Storage and addressed dependency issues by pinning protobuf versions. Furthermore, the user addressed bugs by modifying the documentation.
gcpappenginepythongoogleclient-library
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JJ Geewax - Director, Applied AI at Google DeepMind